井下数据获取及粘滑特征分析

doi:10.16182/j.issn1004731x.joss.19-FZ0332

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (11): 2517-2526.doi: 10.16182/j.issn1004731x.joss.19-FZ0332

井下数据获取及粘滑特征分析

黄升¹, 张涛², 黄崇君³, 李玉梅², 邓虎³, 张霞¹

1. 北京信息科技大学信息与通信工程学院,北京 100101;
2. 高动态导航技术北京市重点实验室,北京信息科技大学,北京 100101;
3. 中国石油集团川庆钻探工程有限公司钻采工程技术研究院,四川广汉,618300

收稿日期:2019-04-25 修回日期:2019-07-16 出版日期:2019-11-10 发布日期:2019-12-13
作者简介:Huang Sheng (1995-), Male, Anhui Anqing, master, research direction is downhole data processing and interpretation.

Downhole Drilling Processing Data Acquisition and Stick Slip Characteristic Analysis

Huang Sheng¹, Zhang Tao², Huang Chongjun³, Li Yumei², Deng Hu³, Zhang Xia¹

1. School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China;
2. Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing 100101, China;
3. Drilling and Production Engineering Technology Research Institute, CNPC Chuanqing Drilling Engineering Co., Ltd., Guanghan, 618300, China

Received:2019-04-25 Revised:2019-07-16 Online:2019-11-10 Published:2019-12-13
Supported by:
Beijing Municipality is a high-level teacher team support program for young people - Youth Talent Development Program (CIT&TCD201804057), Beijing Municipal Education Commission General Project (KM201811232011)

摘要/Abstract

摘要： 在石油钻井过程中,钻柱振动对钻头和钻柱有害,甚至导致钻具失效。研究近钻头振动数据规律可以减少非生产时间(NPT),提高钻井效率。用功率谱密度和小波变换来分析振动信号,与正常钻进情况进行比较,找出粘滑特征。结果表明,当发生粘滑时,横向振动的平均值波动很大,表明粘滑振动主要基于扭转振动。从功率谱密度分析的角度来看,单位频率的能量大于正常钻进时的状态。此外,在粘滑时频域中存在与正常钻井不同的明显峰值。可帮助司钻优化钻井参数,提高钻井速度(ROP)并降低钻井成本。

关键词: 数据获取, 粘滑, 功率谱密度, 小波变换

Abstract: During oil drilling process, drill string vibrations are detrimental to the bit and drill string, which even causes failure of equipment. Researches show that, studying the law of near bit vibration data can reduce non-production time (NPT) and improve drilling efficiency. This paper uses power spectral density and wavelet transform to analyze vibration signals, then compares with normal drilling situation to find out stick slip characteristics. The results show that, when stick slip occurs, the mean value of lateral vibration fluctuates greatly, which indicates stick slip is mainly based on torsional vibration. From the perspective of power spectral density analysis, the energy of the unit frequency is bigger than normal drilling. Moreover, there is a distinct peak different from that in normal drilling in time frequency domain. Therefore, it is expected that the results can help the driller optimize drilling performance and increase the rate of penetration (ROP) and decrease drilling cost.

Key words: data acquisition, stick slip, power spectral density, wavelet transform

中图分类号:

TP391.9

黄升, 张涛, 黄崇君, 李玉梅, 邓虎, 张霞. 井下数据获取及粘滑特征分析[J]. 系统仿真学报, 2019, 31(11): 2517-2526.

Huang Sheng, Zhang Tao, Huang Chongjun, Li Yumei, Deng Hu, Zhang Xia. Downhole Drilling Processing Data Acquisition and Stick Slip Characteristic Analysis[J]. Journal of System Simulation, 2019, 31(11): 2517-2526.

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井下数据获取及粘滑特征分析

Downhole Drilling Processing Data Acquisition and Stick Slip Characteristic Analysis

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